Abstract: Recent advancements in spiking neural networks (SNNs) have highlighted their advantages, including energy efficiency, real-time processing, and compatibility with neuromorphic hardware.

If you have your eye on a career in the robotics industry, consider upping your skills via a convenient online or in-person learning platform.

Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Kompass: a framework for building robust and comprehensive event-driven navigation stacks using an easy-to-use and intuitive Python API EmbodiedAgents: a fully-loaded framework for creating ...

Abstract: Assist-as-needed (AAN) strategies aim to enhance active participation, thereby promoting neuroplasticity and facilitating motor recovery. However, due to variations in injury severity and ...

Healthcare providers looking to build soft tissue robotic surgery programs saw their options multiply in the past year. When Medtronic and another deep-pocketed robot developer, CMR Surgical, snagged ...

Despite their remarkable flexibility, today’s soft artificial muscles struggle to deliver meaningful force. This limits their use in real-world machines, even though they can bend, stretch, and twist ...

McGill University engineers have developed ultra-thin materials that can move, fold, and reshape themselves, opening new possibilities for soft robotics and adaptive devices. The work uses graphene ...